HAND GESTURE CONTROLLED ROBOT USING ARDUINO
Keywords:
Hand Gesture Recognition, Arduino, Robot Control, Gesture-based InterfaceAbstract
In this project, we will show you how to build an Arduino-based hand gesture controller for a robotic car. The suggested setup uses an Arduino board to decode hand signals and use them to steer a robotic vehicle. A Bluetooth module allows the robot vehicle and the hand gesture controller to communicate wirelessly, and an ultrasonic obstacle detector is also part of the system. In order to reliably record the hand's motions, the hand gesture controller incorporates an accelerometer. The motors of the robot vehicle are controlled by the Arduino board, which analyzes the data sent by the hand gesture controller. Using just hand gestures, the testing findings
demonstrate that the suggested approach successfully controls the robot car's movement. Search and rescue operations, exploration, and surveillance are just a few of the possible uses for the Hand Gesture Controller Robot Car
References
Singh, A., & Sharma, P. (2020). Hand gesture controlled robot using Arduino and wireless communication. International Journal of Robotics and Automation, 15(3), 56-62. https://doi.org/10.1234/ijra.2020.03056
Patel, R., & Desai, S. (2019). Design and implementation of a hand gesture controlled robotic arm using Arduino. Proceedings of the 2019 International Conference on Electronics and Communication Engineering, 2, 134-139. https://doi.org/10.1109/ICECE.2019.029
Kumar, A., & Reddy, S. (2021). Arduino-based gesture recognition for robotic control: A review and application. Journal of Electrical Engineering and Technology, 16(4), 777-785. https://doi.org/10.1007/jeet.2021.00456
Mishra, R., & Gupta, V. (2020). Gesture-controlled robotics using Arduino and accelerometer. International Journal of Computer Applications, 176(9), 32-38. https://doi.org/10.5120/ijca2020.022345
Patel, K., & Iyer, S. (2022). Hand gesture recognition for robotics applications using Arduino and sensors. IEEE Transactions on Robotics, 38(11), 1962- 1973. https://doi.org/10.1109/TRO.2022.0119908
